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edited tags as per http://meta.stats.stackexchange.com/questions/4485/understanding-the-use-of-the-education-tag/4486#4486
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Andre Silva
Andre Silva
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How do Ito set up a single continuous independent variable for a repeated measures linear model?

deleted 9 characters in body; edited tags; edited title
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ttnphns
ttnphns
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How do I set up a single continuous independent variable for a repeated measures GLMlinear model?

I'm doing an education study and I'm trying to see the effect of website usage on quiz scores in a class of college students. There were 30 students in the class and they took 10 weekly quizzes over the course of the semester. They also had a website where they could log in and use a study tool. The website kept track of the time they were online.

So my dependent variable is quiz score (continuous) and my predictor variable is website usage over the previous seven days (also continuous).

My first instinct was to make a 300-line database, matching up each quiz score with the amount of website usage in the preceding week, and then run a regression. But I can't really do that, can I? Instead of 300 independent measurements, I really have 10 repeated measurements on 30 subjects.

So I tried using "General Linear Model > Repeated Measures" in SPSS, but I can't figure out how to tell the program that all those columns for website usage are a single, continuous predictor variable.

Any guidance? Am I on the right track here? Or should I be using a different analysis altogether?

Thanks!

How do I set up a single continuous independent variable for a repeated measures GLM?

I'm doing an education study and I'm trying to see the effect of website usage on quiz scores in a class of college students. There were 30 students in the class and they took 10 weekly quizzes over the course of the semester. They also had a website where they could log in and use a study tool. The website kept track of the time they were online.

So my dependent variable is quiz score (continuous) and my predictor variable is website usage over the previous seven days (also continuous).

My first instinct was to make a 300-line database, matching up each quiz score with the amount of website usage in the preceding week, and then run a regression. But I can't really do that, can I? Instead of 300 independent measurements, I really have 10 repeated measurements on 30 subjects.

So I tried using "General Linear Model > Repeated Measures" in SPSS, but I can't figure out how to tell the program that all those columns for website usage are a single, continuous predictor variable.

Any guidance? Am I on the right track here? Or should I be using a different analysis altogether?

Thanks!

How do I set up a single continuous independent variable for a repeated measures linear model?

I'm doing an education study and I'm trying to see the effect of website usage on quiz scores in a class of college students. There were 30 students in the class and they took 10 weekly quizzes over the course of the semester. They also had a website where they could log in and use a study tool. The website kept track of the time they were online.

So my dependent variable is quiz score (continuous) and my predictor variable is website usage over the previous seven days (also continuous).

My first instinct was to make a 300-line database, matching up each quiz score with the amount of website usage in the preceding week, and then run a regression. But I can't really do that, can I? Instead of 300 independent measurements, I really have 10 repeated measurements on 30 subjects.

So I tried using "General Linear Model > Repeated Measures" in SPSS, but I can't figure out how to tell the program that all those columns for website usage are a single, continuous predictor variable.

Any guidance? Am I on the right track here? Or should I be using a different analysis altogether?

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Gareth Keenan
Gareth Keenan
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How do I set up a single continuous independent variable for a repeated measures GLM?

I'm doing an education study and I'm trying to see the effect of website usage on quiz scores in a class of college students. There were 30 students in the class and they took 10 weekly quizzes over the course of the semester. They also had a website where they could log in and use a study tool. The website kept track of the time they were online.

So my dependent variable is quiz score (continuous) and my predictor variable is website usage over the previous seven days (also continuous).

My first instinct was to make a 300-line database, matching up each quiz score with the amount of website usage in the preceding week, and then run a regression. But I can't really do that, can I? Instead of 300 independent measurements, I really have 10 repeated measurements on 30 subjects.

So I tried using "General Linear Model > Repeated Measures" in SPSS, but I can't figure out how to tell the program that all those columns for website usage are a single, continuous predictor variable.

Any guidance? Am I on the right track here? Or should I be using a different analysis altogether?

Thanks!